Endocrinology and Metabolism

Tae Hoon Lee (Lee TH)

4 Articles

Obesity and Metabolism
Comparison of Serum Adipocytokine Levels according to Metabolic Health and Obesity Status: Tae Hoon Lee, Won Seon Jeon, Ki Joong Han, Shin Yeoung Lee, Nam Hee Kim, Hyun Beom Chae, Choel Min Jang, Kyung Mo Yoo, Hae Jung Park, Min Kyung Lee, Se Eun Park, Hyung Geun Oh, Cheol-Young Park, Won-Young Lee, Ki-Won Oh, Sung-Woo Park, Eun-Jung Rhee; Endocrinol Metab. 2015;30(2):185-194. Published online June 30, 2015; DOI: https://doi.org/10.3803/EnM.2015.30.2.185

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Background

Metabolic health is an emerging concept that is highly correlated with various metabolic complications, and adipocytokines have been causally linked to a wide range of metabolic diseases. Thus, this study compared serum adipocytokine levels according to metabolic health and obesity status.

Methods

Four hundred and fifty-six nondiabetic subjects (mean age, 40.5 years) were categorized into four groups according to metabolic health and obesity status: metabolically healthy nonobese (MHNO), metabolically healthy obese (MHO), metabolically unhealthy nonobese (MUHNO), and metabolically unhealthy obese (MUHO). Being metabolically healthy was defined as the presence of fewer than two of the following five metabolic abnormalities: high blood pressure, high fasting blood glucose, high triglyceride, low high density lipoprotein cholesterol, and being in the highest decile of the homeostatic model assessment of insulin resistance index. Obesity status was assessed using body mass index (BMI), with obesity defined as a BMI higher than 25 kg/m². Levels of serum interleukin-6 (IL-6), monocyte chemoattractant protein-1 (MCP-1), tumor necrosis factor α (TNF-α), and adipocyte fatty acid binding protein (A-FABP) were also evaluated.

Results

Of the 456 subjects, 247 (54.2%) were in the MHNO group, 66 (14.5%) were in the MHO group, 66 (14.5%) were in the MUHNO group, and 77 (16.9%) were in the MUHO group. There were no significant differences in IL-6 or MCP-1 levels among the groups, but levels of TNF-α and A-FABP were significantly higher in the MUHNO group compared to the MHNO group.

Conclusion

High TNF-α and A-FABP levels are significantly associated with metabolically unhealthiness in nonobese Korean individuals.

Citations

Citations to this article as recorded by

Differences in the levels of inflammatory markers between metabolically healthy obese and other obesity phenotypes in adults: A systematic review and meta-analysis
Zhouli Su, Ljupcho Efremov, Rafael Mikolajczyk
Nutrition, Metabolism and Cardiovascular Diseases.2024; 34(2): 251. CrossRef
Relationship between the thrombospondin-1/Toll-like receptor 4 (TSP1/TLR4) pathway and vitamin D levels in obese and normal weight subjects with different metabolic phenotypes
Eman Y. Khairy, Azza Saad
The Journal of Physiological Sciences.2023;[Epub] CrossRef
Pattern of Adiponectin, Osteocalcin, Irisin, FGF-21, and MCP-1 According to the Body Size Phenotype: Could They Be Markers of Metabolic Health in Mexican-Mestizo Middle-Aged Women?
Lourdes Balcázar-Hernandez, Lourdes Basurto, Leticia Manuel-Apolinar, Sara Vega-García, Norma Basurto-Acevedo, Carlos Martínez-Murillo, Rosalinda Sánchez-Arenas
Metabolites.2021; 11(11): 771. CrossRef
Exploring Therapeutic Targets to Reverse or Prevent the Transition from Metabolically Healthy to Unhealthy Obesity
Tenzin D. Dagpo, Christopher J. Nolan, Viviane Delghingaro-Augusto
Cells.2020; 9(7): 1596. CrossRef
Poor Vitamin D Status in Active Pulmonary Tuberculosis Patients and Its Correlation with Leptin and TNF-α
Qiuzhen WANG, Aiguo MA, Tianlin GAO, Yufeng LIU, Lisheng REN, Lei HAN, Boyang WEI, Qian LIU, Chunjiang DONG, Yuze MU, Duo LI, Frans J KOK, Evert G SCHOUTEN
Journal of Nutritional Science and Vitaminology.2019; 65(5): 390. CrossRef
Metabolic Health—The Role of Adipo-Myokines
Christine Graf, Nina Ferrari
International Journal of Molecular Sciences.2019; 20(24): 6159. CrossRef
Does the Metabolically Healthy Obese Phenotype Protect Adults with Class III Obesity from Biochemical Alterations Related to Bone Metabolism?
Ligiane Marques Loureiro, Suzane Lessa, Rodrigo Mendes, Sílvia Pereira, Carlos José Saboya, Andrea Ramalho
Nutrients.2019; 11(9): 2125. CrossRef
Being Metabolically Healthy, the Most Responsible Factor for Vascular Health
Eun-Jung Rhee
Diabetes & Metabolism Journal.2018; 42(1): 19. CrossRef
Association between Serum Dipeptidyl Peptidase-4 Concentration and Obesity-related Factors in Health Screen Examinees
Ji Yeon Lee, Byoung Kuk Jang, Min Kyung Song, Hye Soon Kim, Mi-Kyung Kim
Journal of Obesity & Metabolic Syndrome.2017; 26(3): 188. CrossRef
Kofaktoren und Komorbiditäten bei Necrobiosis lipoidica – Analyse der deutschen DRG‐Daten von 2012
Finja Jockenhöfer, Knut Kröger, Joachim Klode, Regina Renner, Cornelia Erfurt‐Berge, Joachim Dissemond
JDDG: Journal der Deutschen Dermatologischen Gesellschaft.2016; 14(3): 277. CrossRef
The relationship between serum fatty-acid binding protein 4 level and lung function in Korean subjects with normal ventilatory function
Hye-Jeong Park, Se Eun Park, Cheol-Young Park, Seong Yong Lim, Won-Young Lee, Ki-Won Oh, Sung-Woo Park, Eun-Jung Rhee
BMC Pulmonary Medicine.2016;[Epub] CrossRef
Cofactors and comorbidities of necrobiosis lipoidica: analysis of the German DRG data from 2012
Finja Jockenhöfer, Knut Kröger, Joachim Klode, Regina Renner, Cornelia Erfurt‐Berge, Joachim Dissemond
JDDG: Journal der Deutschen Dermatologischen Gesellschaft.2016; 14(3): 277. CrossRef
Response: Comparison of Serum Adipocytokine Levels according to Metabolic Health and Obesity Status (Endocrinol Metab2015;30:185-94, Tae Hoon Lee et al.)
Eun-Jung Rhee
Endocrinology and Metabolism.2015; 30(3): 416. CrossRef
Letter: Comparison of Serum Adipocytokine Levels according to Metabolic Health and Obesity Status (Endocrinol Metab2015;30:185-94, Tae Hoon Lee et al.)
Mikyung Kim
Endocrinology and Metabolism.2015; 30(3): 414. CrossRef
Adipokine Profiles and Metabolic Health
Seung-Hwan Lee
Endocrinology and Metabolism.2015; 30(2): 175. CrossRef

Obesity and Metabolism
Increased Risk of Diabetes Development in Subjects with the Hypertriglyceridemic Waist Phenotype: A 4-Year Longitudinal Study: Ki Joong Han, Shin Yeoung Lee, Nam Hee Kim, Hyun Beom Chae, Tae Hoon Lee, Choel Min Jang, Kyung Mo Yoo, Hae Jung Park, Min Kyung Lee, Won Seon Jeon, Se Eun Park, Cheol-Young Park, Won-Young Lee, Ki-Won Oh, Sung-Woo Park, Eun-Jung Rhee; Endocrinol Metab. 2014;29(4):514-521. Published online December 29, 2014; DOI: https://doi.org/10.3803/EnM.2014.29.4.514

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Abstract PDF PubReader

Background

The hypertriglyceridemic waist (HTGW) phenotype is a simple and inexpensive screening parameter to identify people at increased risk of cardiovascular disease. We evaluated whether the HTGW phenotype predicts diabetes in urban Korean adults.

Methods

A total of 2,900 nondiabetic subjects (mean age 44.3 years), comprising 2,078 males (71.7%) and 822 females (28.3%) who underwent annual medical check-ups at our center between January 2005 and December 2009, were recruited. The subjects were divided into four groups according to baseline serum triglyceride (TG) level and waist circumference (WC): normal WC-normal TG (NWNT) level, normal WC-high TG level, enlarged WC-normal TG level, and enlarged WC-high TG (EWHT) level. High serum TG level was defined as ≥150 mg/dL and enlarged WC was defined as ≥90 cm for men and ≥85 cm for women. New cases of diabetes were determined according to questionnaires filled in by participants and the diagnostic criteria of the American Diabetes Association. Cox proportional hazards model analysis was used to assess the association of HTGW phenotype with the incidence of diabetes.

Results

A total of 101 (3.5%) new diabetes cases were diagnosed during the study period. The EWHT group had a higher incidence of diabetes (8.3%) compared with the NWNT group (2.2%). The adjusted hazard ratio for diabetes for subjects with the EWHT phenotype at baseline was 4.113 (95% confidence interval [CI], 2.397 to 7.059) after adjustment for age, and 2.429 (95% CI, 1.370 to 4.307) after adjustment for age, sex, total cholesterol, systolic blood pressure, and alcohol drinking history. It was attenuated by inclusion of baseline fasting glucose level in the model.

Conclusion

Subjects with the HTGW phenotype showed the highest risk of incident diabetes. This tool could be useful for identifying individuals at high risk of diabetes.

Citations

Citations to this article as recorded by

Triglyceridemic Waist Phenotypes as Risk Factors for Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis
Fiorella E. Zuzunaga-Montoya, Víctor Juan Vera-Ponce
International Journal of Statistics in Medical Research.2024; 13: 19. CrossRef
Association between hypertriglyceridemic-waist phenotype and circadian syndrome risk: a longitudinal cohort study
Li-Kun Hu, Yu-Hong Liu, Kun Yang, Ning Chen, Lin-Lin Ma, Yu-Xiang Yan
Hormones.2023; 22(3): 457. CrossRef
Caracterización del fenotipo de cintura hipertrigliceridémica en pacientes con diabetes mellitus tipo 2 en España: un estudio epidemiológico
I. Miñambres, J. Sánchez-Hernández, G. Cuixart, A. Sánchez-Pinto, J. Sarroca, A. Pérez
Revista Clínica Española.2021; 221(10): 576. CrossRef
Association of “hypertriglyceridemic waist” with increased 5-year risk of subclinical atherosclerosis in a multi-ethnic population: a prospective cohort study
Peyman Namdarimoghaddam, Adeleke Fowokan, Karin H. Humphries, G. B. John Mancini, Scott Lear
BMC Cardiovascular Disorders.2021;[Epub] CrossRef
Characterization of the hypertriglyceridemic waist phenotype in patients with type 2 diabetes mellitus in Spain: an epidemiological study
I. Miñambres, J. Sánchez-Hernandez, G. Cuixart, A. Sánchez-Pinto, J. Sarroca, A. Pérez
Revista Clínica Española (English Edition).2021; 221(10): 576. CrossRef
Association between Hypertriglyceridemic-Waist Phenotype and Risk of Type 2 Diabetes Mellitus in Middle-Aged and Older Chinese Population: A Longitudinal Cohort Study
Dezhong Chen, Ziyun Liang, Huimin Sun, Ciyong Lu, Weiqing Chen, Harry H. X. Wang, Vivian Yawei Guo
International Journal of Environmental Research and Public Health.2021; 18(18): 9618. CrossRef
Metabolic Syndrome, and Particularly the Hypertriglyceridemic-Waist Phenotype, Increases Breast Cancer Risk, and Adiponectin Is a Potential Mechanism: A Case–Control Study in Chinese Women
Yujuan Xiang, Wenzhong Zhou, Xuening Duan, Zhimin Fan, Shu Wang, Shuchen Liu, Liyuan Liu, Fei Wang, Lixiang Yu, Fei Zhou, Shuya Huang, Liang Li, Qiang Zhang, Qinye Fu, Zhongbing Ma, Dezong Gao, Shude Cui, Cuizhi Geng, Xuchen Cao, Zhenlin Yang, Xiang Wang,
Frontiers in Endocrinology.2020;[Epub] CrossRef
Hypertriglyceridemic Waist Phenotype and Lipid Accumulation Product: Two Comprehensive Obese Indicators of Waist Circumference and Triglyceride to Predict Type 2 Diabetes Mellitus in Chinese Population
Minrui Xu, Mingtao Huang, Deren Qiang, Jianxin Gu, Yong Li, Yingzi Pan, Xingjuan Yao, Wenchao Xu, Yuan Tao, Yihong Zhou, Hongxia Ma, Ulrike Rothe
Journal of Diabetes Research.2020; 2020: 1. CrossRef
Prevalence and relationship of hypertriglyceridaemic–waist phenotype and type 2 diabetes mellitus among a rural adult Chinese population
Yong-Cheng Ren, Yu Liu, Xi-Zhuo Sun, Bing-Yuan Wang, Yi Liu, Hu Ni, Yang Zhao, Dechen Liu, Xuejiao Liu, Dongdong Zhang, Feiyan Liu, Cheng Cheng, Leilei Liu, Xu Chen, Qionggui Zhou, Ming Zhang, Dongsheng Hu
Public Health Nutrition.2019; 22(8): 1361. CrossRef
Hypertriglyceridemic waist phenotype and abnormal glucose metabolism: a system review and meta-analysis
Chun-Ming Ma, Xiao-Li Liu, Na Lu, Rui Wang, Qiang Lu, Fu-Zai Yin
Endocrine.2019; 64(3): 469. CrossRef
Superior Role of Waist Circumference to Body-Mass Index in the Prediction of Cardiometabolic Risk in Dyslipidemic Patients
Ľ. Cibičková, K. Langová, H. Vaverková, J. Lukeš, N. Cibiček
Physiological Research.2019; : 931. CrossRef
Being Metabolically Healthy, the Most Responsible Factor for Vascular Health
Eun-Jung Rhee
Diabetes & Metabolism Journal.2018; 42(1): 19. CrossRef
Letter: Utility of the Visceral Adiposity Index and Hypertriglyceridemic Waist Phenotype for Predicting Incident Hypertension (Endocrinol Metab 2017;32:221-9, Mohsen Janghorbani et al.)
Eun-Jung Rhee
Endocrinology and Metabolism.2017; 32(3): 396. CrossRef
The Relationship between Hypertriglyceridemic Waist Phenotype and Early Diabetic Nephropathy in Type 2 Diabetes
Chun-Ming Ma, Rui Wang, Xiao-Li Liu, Na Lu, Qiang Lu, Fu-Zai Yin
Cardiorenal Medicine.2017; 7(4): 295. CrossRef
The Association of Hypertriglyceridemic Waist Phenotype with Chronic Kidney Disease and Its Sex Difference: A Cross-Sectional Study in an Urban Chinese Elderly Population
Jing Zeng, Miao Liu, Lei Wu, Jianhua Wang, Shanshan Yang, Yiyan Wang, Yao Yao, Bin Jiang, Yao He
International Journal of Environmental Research and Public Health.2016; 13(12): 1233. CrossRef
Prevalence of hypertriglyceridemic waist and association with risk of type 2 diabetes mellitus: a meta‐analysis
Yongcheng Ren, Xinping Luo, Chongjian Wang, Lei Yin, Chao Pang, Tianping Feng, Bingyuan Wang, Lu Zhang, Linlin Li, Xiangyu Yang, Hongyan Zhang, Jingzhi Zhao, Dongsheng Hu
Diabetes/Metabolism Research and Reviews.2016; 32(4): 405. CrossRef
Utility of hypertriglyceridemic waist phenotype for predicting incident type 2 diabetes: The Isfahan Diabetes Prevention Study
Mohsen Janghorbani, Masoud Amini
Journal of Diabetes Investigation.2016; 7(6): 860. CrossRef
βig-h3 Represses T-Cell Activation in Type 1 Diabetes
Maeva Patry, Romain Teinturier, Delphine Goehrig, Cornelia Zetu, Doriane Ripoche, In-San Kim, Philippe Bertolino, Ana Hennino
Diabetes.2015; 64(12): 4212. CrossRef
Hypertriglyceridemic Waist – a Simple Clinical Tool to Detect Cardiometabolic Risk: Comparison With Harmonized Definition of Metabolic Syndrome
H. VAVERKOVÁ, D. KARÁSEK, D. NOVOTNÝ, M. HALENKA, J. ORSÁG, L. SLAVÍK
Physiological Research.2015; : S385. CrossRef
Articles in 'Endocrinology and Metabolism' in 2014
Won-Young Lee
Endocrinology and Metabolism.2015; 30(1): 47. CrossRef
Changes in Metabolic Health Status Over Time and Risk of Developing Type 2 Diabetes
Seung-Hwan Lee, Hae Kyung Yang, Hee-Sung Ha, Jin-Hee Lee, Hyuk-Sang Kwon, Yong-Moon Park, Hyeon-Woo Yim, Moo-Il Kang, Won-Chul Lee, Ho-Young Son, Kun-Ho Yoon
Medicine.2015; 94(40): e1705. CrossRef

Age Is the Strongest Effector for the Relationship between Estimated Glomerular Filtration Rate and Coronary Artery Calcification in Apparently Healthy Korean Adults: Hyun Beom Chae, Shin Yeoung Lee, Nam Hee Kim, Ki Joong Han, Tae Hoon Lee, Choel Min Jang, Kyung Mo Yoo, Hae Jung Park, Min Kyung Lee, Won Seon Jeon, Se Eun Park, Heui-Soo Moon, Cheol-Young Park, Won-Young Lee, Ki-Won Oh, Sung-Woo Park, Eun-Jung Rhee; Endocrinol Metab. 2014;29(3):312-319. Published online September 25, 2014; DOI: https://doi.org/10.3803/EnM.2014.29.3.312

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Background

Chronic kidney disease (CKD) is considered one of the most common risk factors for cardiovascular disease. Coronary artery calcification (CAC) is a potential mechanism that explains the association between renal function and cardiovascular mortality. We aimed to evaluate the association between renal function and CAC in apparently healthy Korean subjects.

Methods

A total of 23,617 participants in a health-screening program at Kangbuk Samsung Hospital were included in the study. Estimated glomerular filtration rate (eGFR) was assessed using the Cockcroft-Gault equation. Coronary artery calcium score (CACS) was measured via multidetector computed tomography. Subjects were divided into three groups according to the CKD Staging system with eGFR grade: stage 1, eGFR ≥90 mL/min/1.73 m²; stage 2, eGFR 60 to 89 mL/min/1.73 m²; and stage 3, eGFR 30 to 59 mL/min/1.73 m².

Results

The mean age of the participants was 41.4 years and the mean eGFR was 103.6±21.7 mL/min/1.73 m². Hypertension and diabetes were noted in 43.7% and 5.5% of the participants, respectively. eGFR showed a weakly negative but significant association with CACS in bivariate correlation analysis (r=-0.076, P<0.01). Mean CACS significantly increased from CKD stage 1 to 3. The proportion of subjects who had CAC significantly increased from CKD stage 1 to 3. Although the odds ratio for CAC significantly increased from stage 1 to 3 after adjustment for confounding factors, this significance was reversed when age was included in the model.

Conclusion

In early CKD, renal function negatively correlated with the degree of CAC in Korean subjects. Age was the strongest effector for this association.

Citations

Citations to this article as recorded by

Coronary artery calcium and risk of chronic kidney disease in young and middle-aged adults
Yejin Kim, Jeonggyu Kang, Yoosoo Chang, Young Youl Hyun, Kyu-Beck Lee, Hocheol Shin, Sarah H Wild, Christopher D Byrne, Seungho Ryu
Nephrology Dialysis Transplantation.2023; 38(6): 1439. CrossRef
New Model for Predicting the Presence of Coronary Artery Calcification
Samel Park, Min Hong, HwaMin Lee, Nam-jun Cho, Eun-Young Lee, Won-Young Lee, Eun-Jung Rhee, Hyo-Wook Gil
Journal of Clinical Medicine.2021; 10(3): 457. CrossRef
Long-term effects of various types of 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitors on changes in glomerular filtration rate in Korea
Seo Yeon Baik, Hyunah Kim, So Jung Yang, Tong Min Kim, Seung-Hwan Lee, Jae Hyoung Cho, Hyunyong Lee, Hyeon Woo Yim, Kun-Ho Yoon, Hun-Sung Kim
Frontiers of Medicine.2019; 13(6): 713. CrossRef
Chronic kidney disease and coronary artery calcification in the Brazilian Longitudinal Study of Adult Health (ELSA‐Brasil)
Cheng Suh‐Chiou, Rosa M. Moysés, Marcio S. Bittencourt, Isabela M. Bensenor, Paulo A. Lotufo
Clinical Cardiology.2017; 40(12): 1309. CrossRef
Eligibility for Statin Treatment in Korean Subjects with Reduced Renal Function: An Observational Study
Byung Sub Moon, Jongho Kim, Ji Hyun Kim, Young Youl Hyun, Se Eun Park, Hyung-Geun Oh, Cheol-Young Park, Won-Young Lee, Ki-Won Oh, Kyu-Beck Lee, Hyang Kim, Sung-Woo Park, Eun-Jung Rhee
Endocrinology and Metabolism.2016; 31(3): 402. CrossRef
Articles in 'Endocrinology and Metabolism' in 2014
Won-Young Lee
Endocrinology and Metabolism.2015; 30(1): 47. CrossRef

Peroxiredoxin I and II are Involved in Hydrogen Peroxide Regulation in FRTL-5 Thyroid Cells.: Ho Kim, Tae Hoon Lee, Eun Shin Park, Jae Mi Suh, Soo Jung Park, Hyo Kyun Chung, Hyun Jin Kim, Soo Hong Chae, Do Hee Kim, O Yu Kwon, Young Kun Kim, Min Ho Shong, Heung Kyu Ro; J Korean Endocr Soc. 2000;15(1):55-69. Published online January 1, 2001

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Abstract PDF: BACKGROUND
Peroxiredoxins (Prx) play an important role in regulating cellular differentiation and proliferation in several types of mammalian cells. One mechanism for this action involves modulation of hydrogen peroxide (H2O2)-mediated cellular responses. This report examines the expression of Prx I and Prx II in thyroid cells and their roles in eliminating H2O2 produced in response to TSH. METHODS: The expression of Prx-I and Prx-II were quantiated in FRTL-5 after stimulation with Thyroid stimulating hormone (TSH), Forskolin (FSK), Methimazole (MMI) and hydrogen peroxide (H2O2). Transient transfections were carried out with FRTL-5 cells at 80% confluency and 20microgram of pCRprx I and pCRprx II or equivalent molar amounts of the pCR3.1TM basic vector. Transient transfection used an electroporation technique. Intracellular H2O2 was assayed in FRTL-5 cells with a fluorescent dye, 2', 7'-dichlorofluoresceindiacetate (DCFH-DA). Apoptosis of cells were evaluated by using an detection kit (Promega, Inc., Madison, WI). RESULTS: Prx I and Prx II are constitutively expressed in FRTL-5 thyroid cells. Prx I expression, but not Prx II expression, is stimulated by exposure to TSH and H2O2. In addition, methimazole (MMI) induces a high level of Prx I mRNA and protein in these cells. Overexpression of Prx I and Prx II enhance the elimination of H2O2 produced by TSH in FRTL-5 cells. Treatment with 500microM H2O2 causes apoptosis in FRTL-5 cells as evidenced by standard assays of apoptosis (i.e., terminal deoxynucleotidyl transferase deoxyuridine triphosphate-biotin nick end-labeling (TUNEL), BAX expression and PARP cleavage. Overexpression of Prx I and Prx II reduces the amount of H2O2-induced apoptosis measured by these assays. CONCLUSION: These results suggest that Prx I and Prx II are involved in the removal of H2O2 in thyroid cells, and can protect these cells from undergoing apoptosis. These proteins are likely to be involved in the normal physiological response to TSH-induced production of H2O2 in thyroid cells.

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